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A generalized novel framework for optimal sensor-controller connection design to guarantee a stable cyber physical smart grid

机译：用于优化传感器-控制器连接设计的通用新型框架，可确保稳定的网络物理智能电网

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Limited availability of resources increases the importance of decentralized control through optimal networking of sensors and controllers in practical MIMO systems. Design of this network entails rigorous consideration of constraints in sensors, communication relays as well as controllers. Given that each of these elements has different capacity, a framework for optimal allocation of communication resources for enhanced system performance is necessary. In this paper, these two challenges have been incorporated to find out the set of optimal possible routes from sensors to controllers while ensuring stability. The major contribution of this paper is the development of a generalized algorithm to find optimal combination of sensors and controllers to be connected so as to make the system highly stable. The proposed algorithm minimizes a suitable cost or enhances reliability while guaranteeing stability using Lyapunov stability theory and linear matrix inequalities (LMI). The efficacy of the algorithm has been demonstrated through application on a cyber physical smart grid system. The multi-cast sensor — controller routing for decentralized voltage control in a 4-bus smart-grid system operating in islanded mode has been successfully simulated in MATLAB environment.
机译：资源的有限可用性通过实际MIMO系统中传感器和控制器的最佳联网，增加了分散控制的重要性。该网络的设计需要严格考虑传感器，通信继电器以及控制器中的约束。鉴于这些元素中的每个元素具有不同的容量，因此需要一个用于最佳分配通信资源以增强系统性能的框架。在本文中，将这两个挑战结合在一起，以找出从传感器到控制器的最佳可行路线，同时确保稳定性。本文的主要贡献是开发了一种通用算法，该算法可找到要连接的传感器和控制器的最佳组合，从而使系统高度稳定。提出的算法使用Lyapunov稳定性理论和线性矩阵不等式（LMI）在保证稳定性的同时，最小化了合适的成本或增强了可靠性。通过在网络物理智能电网系统上的应用证明了该算法的有效性。已在MATLAB环境下成功模拟了在孤岛模式下运行的4总线智能电网系统中用于分散电压控制的多播传感器-控制器路由。

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